Genetic algorithms for approximation of digital curves with line segments and circular arcs

A method for error-bounded approximation of digital curves with line segments and circular arcs is proposed. In the proposed method, a chromosome is used to represent an approximation by a string, and the operations of genetic algorithms are designed especially to obtain the approximation for which...

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Veröffentlicht in:Journal of the Chinese Institute of Engineers Jg. 32; H. 4; S. 437 - 444
Hauptverfasser: Huang, Shu-Chien, Wang, Chu-Fu
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Taylor & Francis Group 01.06.2009
Schlagworte:
circular arc
error-bounded approximation
evolutionary computation
genetic algorithms
ISSN:0253-3839, 2158-7299
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Zusammenfassung:A method for error-bounded approximation of digital curves with line segments and circular arcs is proposed. In the proposed method, a chromosome is used to represent an approximation by a string, and the operations of genetic algorithms are designed especially to obtain the approximation for which an error is bounded by a given norm. Many experiments show that the convergence is guaranteed, and optimal or near-optimal solutions can be obtained. The proposed method successfully reduced the total number of line segments and circular arcs required to approximate the digital curves under the error-bound criterion.
ISSN:0253-3839
2158-7299
DOI:10.1080/02533839.2009.9671526